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Duration 21 hours
Course Outline
Introduction to Grafana and Prometheus
- Architectural overview and key use cases
- Installation and configuration of Prometheus and Grafana
- Exploration of exporters and the Prometheus query language (PromQL)
Data Source Integration
- Establishing connections between Prometheus and Grafana
- Integrating with Elasticsearch, InfluxDB, PostgreSQL, MySQL, and Loki
- Utilizing JSON, CSV, and external API plugins
Dashboard Development
- Creating and importing custom dashboards
- Utilizing panels such as graphs, tables, heatmaps, and stat visualizations
- Developing reusable templates with variables and filters
Advanced Querying and Data Transformation
- Writing and optimizing PromQL queries
- Applying transformations, math functions, aliases, and derived fields
- Synthesizing multiple data sources into a unified view
Alerting and Notifications
- Defining alert rules and thresholds
- Configuring Alertmanager and setting up alert receivers (email, Slack, webhook, etc.)
- Managing alert silences and grouping strategies
Performance and Scaling Considerations
- Optimizing dashboard performance and caching strategies
- Scaling Prometheus through federation and long-term storage solutions
- Best practices for data retention and disk usage management
Access Control and Collaboration
- Establishing users, roles, and team structures
- Configuring permissions and secure sharing protocols
- Implementing version control and dashboard provisioning
Summary and Next Steps
Requirements
- Practical experience with system monitoring or DevOps tools
- Proficiency in Linux environments and command-line operations
- A solid understanding of time-series data concepts and basic networking
Target Audience
- System and network administrators
- DevOps and site reliability engineers
- Members of monitoring and observability teams
Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Relax, easy no pressure to complete the assignment